- Course syllabus and General info
- Time schedule (who, where and when)
- Course program (what)
- Formula sheet
- The list of theoretical questions for the exam
- Old exams

**News (the latest comes on top):**

- The question hours for the final are on Monday, 7/1 at 13:15. We meet near MH:333.
- The last chance to do one of two labs this year is on Wednesday, December 19, at 15:15 in MH:230. Send me an email if you are going to come.
- The project assignment is out below.
- The Lab 2 is ready for sign-up at the same link.
- The Lab 1 is ready for sign-up. Follow the link.
- The course starts on Tuesday, November 6, at 15:15 in MA:01.

>>>>> The list of known typos (if you find more, please, mail it to me).

- Lab 1 (week 3): The instruction and the m-file.
- Lab 2 (week 5): The instruction and the m-file.

- Alternative 1: phi1.m phi2.m data1.m data2.m test_func.m
- Alternative 2: grad.m rosenbrock.m test_func.m

- Intro
- Lecture 1
- Lecture 2
- Lecture 3
- Lecture 4
- Lecture 5
- Lecture 6
- Lecture 7
- >>> Seminar 1
- Lecture 8
- Lecture 9
- >>> Seminar 2
- Lecture 10
- Lecture 11
- Lecture 12
- >>> Seminar 3
- Summary

- exam: January 9, 2019, 08:00-13:00, MA:09C-F
- re-exams: April 29, 2019, 14:00-19:00, MA:9F and August 23, 2019, 14:00-19:00, MA:09C

Extra requirements for NatFak-students who take MATC51.

- A good course of Stephen Boyd at Stanford University (with lecture notes, videos etc).
- Lieven Vandenberghe has lecture notes for several courses on optimization.
- A much more detailed book Numerical Optimization with online access from Lund University.
- A very gentle introduction to optimization from R.T. Rockafellar.
- MATLAB Tutorials from MathWorks.
- MATLAB Notes from University of Dundee (just a one of numerous links on the web).
- There are many MATLAB tutorials on Youtube. For example, how to do debugging.